McMaster researchers have developed new methods for analyzingĬorrelated process data for Statistical Process Control, inferential
MacStat McMaster Statistical Package for Multivariate Data Analysis Suitable for anyone interested in using SOFCs for building-scale or community-scale applications.
You enter key design parameters and demand profiles for power and heating services for your building and it uses models developed at the MACC to determine the system performance on a hour by hour basis for an entire year of use, along with many key performance metrics. BESS The Building Energy Systems SimulatorīESS is a user-friendly software package that can be used to simulate building energy systems using solid oxide fuel cells (SOFCs), compressed air energy storage (CAES), and renewable energy (solar, wind, etc.).
